2000/01/23 by Lester Ingber, Ingber, Lester · 10 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · Neuroscience · Physics and Astronomy · Psychology · #Basis (linear algebra) #Biological Physics (physics.bio-ph) #Cognitive psychology #Computer science #Data Analysis #Electroencephalography #FOS: Biological sciences #FOS: Physical sciences #Factor (programming language) #Fractal and DNA sequence analysis #Key (lock) #Mathematics #Neural Networks and Applications #Neural dynamics and brain function #Neuroscience #Physics #Psychology #Quantitative Biology (q-bio) #Statistical analysis #Statistical mechanics #Statistical physics #Statistics #Statistics and Probability (physics.data-an) #physics.bio-ph #physics.data-an #q-bio
paper · pdf · doi:10.48550/arxiv.physics/0001049
published in CogPrints (University of Southampton) (University of Southampton) · 11 PostScript pages
arxiv created 2000/01/23 · openalex publication_date 2000/01/23 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
A statistical mechanics of neuronal interactions (SMNI) is explored as providing some substance to a physiological basis of the g factor. Some specific elements of SMNI, previously used to develop a theory of short-term memory (STM) and a model of electroencephalography (EEG) are key to providing this basis. Specifically, Hick's Law, an observed linear relationship between reaction time (RT) and the information storage of STM, in turn correlated to a RT-g relationship, is derived.